Anup Mohan

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Thousands of cameras are connected to the Internet providing streaming data (videos or periodic images). The images contain information that can be used to determine the scene contents such as traffic, weather, and the environment. Analyzing the data from these cameras presents many challenges, such as (i) retrieving data from geographically distributed and(More)
Surveillance cameras, also called CCTV (closed-circuit television), are widely deployed as one of the solutions to improve public safety. The visual data from these cameras are usually unavailable to the public. In recent years, many organizations have deployed network cameras with diverse purposes such as monitoring traffic congestion and observing natural(More)
With the existence of millions of public network cameras capturing countless events around the world, there is a need for a system to retrieve, save, and analyze the tremendous amount of visual data from the cameras. The knowledge from the data will ultimately help better understand the world. Such a system needs to allocate and manage significant amounts(More)
Distributed network cameras are gaining popularity in scientific research because they can be used to monitor natural and human phenomena on a very large scale. However, there's no easy way to gather and process data from a large number of distributed cameras. This article proposes a system that uses cloud instances to gather and analyze data from a large(More)
The Internet of Things (IoT) is the internetworking of a variety of devices, including sensors. Among all sensors, visual sensors (i.e. cameras) are special because they can provide rich and versatile information. The world already has more than one billion cameras on mobile phones. We define the internetworking of visual sensors as the Internet of Video(More)
The use of video data for a variety of applications has gained immense popularity. These applications include traffic monitoring, surveillance, retail store management, etc. Thousands of publicly accessible network cameras distributed around the world are potential sources of video data. The applications analyzing data from network cameras have different(More)
Significant progress has been made in recent years using computer programs recognizing objects in images. Meanwhile, many cameras are embedded in battery-powered systems (such as mobile phones, wearable devices, and drones) and energy efficiency is essential. Even though many research papers have been published on the topics related to low power and image(More)
NEES is a network of 14 earthquake engineering labs distributed across the United States. As a part of the NEES effort NEESComm operates a comprehensive cyberinfrastructure that consists of the <i>NEEShub</i> and the <i>NEES Project Warehouse</i>. NEESComm provides consistent access to several High Performance Computing (HPC) venues. These venues include(More)
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